{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/6a081667efd1f558b0dd5c52/6a08a31b382d6c40308bca4f?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"People & Transformation | Co-Host Amanda Rajkumar","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/6a081667efd1f558b0dd5c52/1778950675724-f83ddb0d-8fd7-4549-9999-e0f87225ae43.jpeg?height=200","description":"<p>SHOW NOTES</p><p>When executives ask about AI transformation, the question is often: what is the right organisational design? Central team or decentralised? The honest answer is: you need both - and the balance shifts as your transformation matures.</p><p>In this episode, Amanda and Kenza explore what it actually takes to structure an organisation for AI. They discuss why a dedicated central team is critical in the early stages, how to handle the tension between day jobs and transformation work, and why measuring return on investment in AI is far harder - and more nuanced - than most boards expect.</p><p><br></p><p>KEY TAKEAWAYS</p><ul><li>Start with a central team close to the CEO to orchestrate initiatives and set the guardrails. Its importance decreases as the organisation matures.</li><li>People cannot drive transformation on top of their day jobs. Organisations must explicitly free up capacity or accept that performance targets will temporarily take a back seat.</li><li>AI handles structure well. Humans handle chaos. The smartest deployments automate the repetitive 80% and invest in people for the complex 20%.</li><li>Before you automate anything, optimise the process first. Automating a broken process just makes the broken parts faster.</li></ul><p><br></p>","author_name":"Kenza Ait Si Abbou"}